5 matches found
CVE-2022-29201
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of tf.rawops.QuantizedConv2D does not fully validate the input arguments. In this case, references get bound to nullptr for each argument that is empty. Versions 2.9.0,...
CVE-2022-29201
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of tf.rawops.QuantizedConv2D does not fully validate the input arguments. In this case, references get bound to nullptr for each argument that is empty. Versions 2.9.0,...
CVE-2022-29201 Missing validation in `QuantizedConv2D` results in undefined behavior in TensorFlow
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of tf.rawops.QuantizedConv2D does not fully validate the input arguments. In this case, references get bound to nullptr for each argument that is empty. Versions 2.9.0,...
CVE-2022-29201
TensorFlow CVE-2022-29201 concerns a missing input validation in tf.raw_ops.QuantizedConv2D that can bind references to nullptr when arguments are empty. Affected versions include 2.6.4, 2.7.2, 2.8.1, and 2.9.0. Patches exist in 2.9.0 and are cherrypicked to the older supported branches (2.8.1, 2...
CVE-2022-29201 Missing validation in `QuantizedConv2D` results in undefined behavior in TensorFlow
TensorFlow is an open source platform for machine learning. Prior to versions 2.9.0, 2.8.1, 2.7.2, and 2.6.4, the implementation of tf.rawops.QuantizedConv2D does not fully validate the input arguments. In this case, references get bound to nullptr for each argument that is empty. Versions 2.9.0,...